Add support for ephemeral models #90
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dbt2looker/parser.py
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could you remove the tag feature from this PR and we can address it separately?
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How do you mean, sorry?
This line isn't doing anything new, it's just some light refactoring for clarity (lines 46-48 previously did this filtering).
I guess I have changed the order in which things happen - previously, an error would have been raised for any model that didn't have a name attribute, whereas now (because I've put the filtering before the for-loop) only selected models (ones where the tag matches) that don't have a name attribute will throw the error, the rest will be ignored.
Can you confirm that this behavioural change is what you want me to revert?
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@owlas I assumed that this is what you wanted, I've fiddled with it to remove the behavioural change, which I will include in a new PR shortly.
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All done - there are now three PRs in a stack:
- Add support for ephemeral models #90 (this one)
- then Filter models on tags before checking empties #92 (contains the separated tag filter change)
- then Warn about catalog manifest discrepancy #91 (separate work, but stacked on top because I couldn't develop locally without first solving these issues with ephemeral models and tag-based filtering)
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Hi @owlas - just checking whether my revisions following your review got lost in the churn? There are three small PRs in a stack:
No particular rush, but thought I'd check this was on your radar. |
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@owlas - just a gentle nudge, any chance of merging these contributions? |
This PR fixes the
dbt2lookertool such that ephemeral models do not break it (see issue #57).It is inspired by earlier suggestions by @boludo00 and @mariana-s-fernandes , with minor modifications.